




"""simple docstring"""




import json
import os
from typing import Dict, List, Optional, Tuple

import regex as re

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


lowerCAmelCase				:     str					=				logging.get_logger(__name__)


lowerCAmelCase				:     Optional[Any]					=				{
    """vocab_file""": """vocab.json""",
    """merges_file""": """merges.txt""",
    """tokenizer_config_file""": """tokenizer_config.json""",
}

lowerCAmelCase				:     Optional[Any]					=				{
    """vocab_file""": {
        """facebook/blenderbot_small-90M""": """https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/vocab.json"""
    },
    """merges_file""": {
        """facebook/blenderbot_small-90M""": """https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/merges.txt"""
    },
    """tokenizer_config_file""": {
        """facebook/blenderbot_small-90M""": (
            """https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/tokenizer_config.json"""
        )
    },
}

lowerCAmelCase				:     List[Any]					=				{"""facebook/blenderbot_small-90M""": 512}



def        a__					(							snake_case__							)		->   List[str]:
			lowerCamelCase      =   set()
			lowerCamelCase      =   word[0]
			for char in word[1:]:
						pairs.add((prev_char, char)							)
						lowerCamelCase      =   char

			lowerCamelCase      =   set(snake_case__							)
			return pairs






class        __magic_name__				(			UpperCAmelCase__							):






				'''simple docstring'''
				__UpperCamelCase         =		VOCAB_FILES_NAMES
				__UpperCamelCase         =		PRETRAINED_VOCAB_FILES_MAP
				__UpperCamelCase         =		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				__UpperCamelCase         =		["input_ids", "attention_mask"]





				def __init__(			self						,					_a						,					_a						,					_a="__start__"						,					_a="__end__"						,					_a="__unk__"						,					_a="__null__"						,					**_a						,					):





							"""simple docstring"""
							super().__init__(unk_token=_a						,					bos_token=_a						,					eos_token=_a						,					pad_token=_a						,					**_a					)

							with open(_a						,					encoding="""utf-8"""					) as vocab_handle:
										lowerCamelCase      =   json.load(_a					)
							lowerCamelCase      =   {v: k for k, v in self.encoder.items()}
							with open(_a						,					encoding="""utf-8"""					) as merges_handle:
										lowerCamelCase      =   merges_handle.read().split("""\n"""					)[1:-1]
							lowerCamelCase      =   [tuple(merge.split()					) for merge in merges]
							lowerCamelCase      =   dict(zip(_a						,					range(len(_a					)					)					)					)
							lowerCamelCase      =   {}





				@property
				def   _lowerCAmelCase							(			self					):





							"""simple docstring"""
							return len(self.encoder					)





				def   _lowerCAmelCase							(			self					):





							"""simple docstring"""
							return dict(self.encoder						,					**self.added_tokens_encoder					)





				def   _lowerCAmelCase							(			self						,					_a					):





							"""simple docstring"""
							if token in self.cache:
										return self.cache[token]
							lowerCamelCase      =   re.sub("""([.,!?()])"""						,					r""" \1"""						,					_a					)
							lowerCamelCase      =   re.sub("""(')"""						,					r""" \1 """						,					_a					)
							lowerCamelCase      =   re.sub(r"""\s{2,}"""						,					""" """						,					_a					)
							if "\n" in token:
										lowerCamelCase      =   token.replace("""\n"""						,					""" __newln__"""					)

							lowerCamelCase      =   token.split(""" """					)
							lowerCamelCase      =   []
							for token in tokens:
										if not len(_a					):
													continue

										lowerCamelCase      =   token.lower()
										lowerCamelCase      =   tuple(_a					)
										lowerCamelCase      =   tuple(list(word[:-1]					) + [word[-1] + """</w>"""]					)
										lowerCamelCase      =   get_pairs(_a					)

										if not pairs:
													words.append(_a					)
													continue

										while True:
													lowerCamelCase      =   min(_a						,					key=lambda _a					: self.bpe_ranks.get(_a						,					float("""inf"""					)					)					)
													if bigram not in self.bpe_ranks:
																break
													lowerCamelCase ,  lowerCamelCase      =   bigram
													lowerCamelCase      =   []
													lowerCamelCase      =   0

													while i < len(_a					):
																try:
																			lowerCamelCase      =   word.index(_a						,					_a					)
																			new_word.extend(word[i:j]					)
																			lowerCamelCase      =   j
																except ValueError:
																			new_word.extend(word[i:]					)
																			break

																if word[i] == first and i < len(_a					) - 1 and word[i + 1] == second:
																			new_word.append(first + second					)
																			i += 2
																else:
																			new_word.append(word[i]					)
																			i += 1
													lowerCamelCase      =   tuple(_a					)
													lowerCamelCase      =   new_word
													if len(_a					) == 1:
																break
													else:
																lowerCamelCase      =   get_pairs(_a					)
										lowerCamelCase      =   """@@ """.join(_a					)
										lowerCamelCase      =   word[:-4]

										lowerCamelCase      =   word
										words.append(_a					)
							return " ".join(_a					)





				def   _lowerCAmelCase							(			self						,					_a					):





							"""simple docstring"""
							lowerCamelCase      =   []

							lowerCamelCase      =   re.findall(r"""\S+\n?"""						,					_a					)

							for token in words:
										split_tokens.extend(list(self.bpe(_a					).split(""" """					)					)					)
							return split_tokens





				def   _lowerCAmelCase							(			self						,					_a					):





							"""simple docstring"""
							lowerCamelCase      =   token.lower()
							return self.encoder.get(_a						,					self.encoder.get(self.unk_token					)					)





				def   _lowerCAmelCase							(			self						,					_a					):





							"""simple docstring"""
							return self.decoder.get(_a						,					self.unk_token					)





				def   _lowerCAmelCase							(			self						,					_a					):





							"""simple docstring"""
							lowerCamelCase      =   """ """.join(_a					).replace("""@@ """						,					""""""					).strip()
							return out_string





				def   _lowerCAmelCase							(			self						,					_a						,					_a = None					):





							"""simple docstring"""
							if not os.path.isdir(_a					):
										logger.error(f'Vocabulary path ({save_directory}) should be a directory'					)
										return
							lowerCamelCase      =   os.path.join(
							    _a						,					(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]					)
							lowerCamelCase      =   os.path.join(
							    _a						,					(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""merges_file"""]					)

							with open(_a						,					"""w"""						,					encoding="""utf-8"""					) as f:
										f.write(json.dumps(self.encoder						,					indent=2						,					sort_keys=_a						,					ensure_ascii=_a					) + """\n"""					)

							lowerCamelCase      =   0
							with open(_a						,					"""w"""						,					encoding="""utf-8"""					) as writer:
										writer.write("""#version: 0.2\n"""					)
										for bpe_tokens, token_index in sorted(self.bpe_ranks.items()						,					key=lambda _a					: kv[1]					):
													if index != token_index:
																logger.warning(
																    f'Saving vocabulary to {merge_file}: BPE merge indices are not consecutive.'
																    """ Please check that the tokenizer is not corrupted!"""					)
																lowerCamelCase      =   token_index
													writer.write(""" """.join(_a					) + """\n"""					)
													index += 1

							return vocab_file, merge_file









"""simple docstring"""




def        a__					(							snake_case__ = 50_00_00_00							)		->   int:
			lowerCamelCase      =   set()
			lowerCamelCase      =   int((limit - 24) ** (1 / 2)							)

			lowerCamelCase      =   set(range(3			,					prime_square_limit + 1			,					2							)							)
			primes.add(2							)
			for p in range(3			,					prime_square_limit + 1			,					2							):
						if p not in primes:
									continue
						primes.difference_update(set(range(p * p			,					prime_square_limit + 1			,					snake_case__							)							)							)

			for primea in primes:
						lowerCamelCase      =   primea * primea
						for primea in primes:
									lowerCamelCase      =   primea * primea * primea
									if square + cube >= limit - 16:
												break
									for primea in primes:
												lowerCamelCase      =   primea * primea * primea * primea
												lowerCamelCase      =   square + cube + tetr
												if total >= limit:
															break
												ret.add(snake_case__							)

			return len(snake_case__							)


if __name__ == "__main__":
					print(F"""{solution() = }""")



